Before your agent recommends an AI project, this server runs a four-pillar business case check and returns Accelerate, Fix, or Stop with modeled EUR value ranges and decision confidence scores. Six stdio tools: score_initiative evaluates strategic alignment, financial return, change enablement, and governance risk against industry benchmarks from McKinsey, Gartner, and BCG. recommend_improvements tells you which pillar scores to raise and by how much. calculate_pace_layer_drag quantifies the annual cost of running gen3 AI in a traditional operating model. Built on the AI Business Value Framework methodology with deterministic rules, no network calls, and optional anonymous telemetry. Reach for it when agents need to justify deployments that will face board review, not just technical feasibility checks.
claude mcp add --transport stdio io.github.bahamas1717-aibvf-mcp uvx aibvf-mcp